Review of satellite radar interferometry for subsidence analysis

Raspini, Federico; Caleca, Francesco; Soldato, Matteo Del; Festa, Davide; Confuorto, Pierluigi; Bianchini, Silvia

doi:10.1016/j.earscirev.2022.104239

Cited by 40 publications

(13 citation statements)

References 541 publications

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“…By mining time series SAR images using PS-InSAR 29 – 31 , and SBAS-InSAR (i.e., a small baseline subset of InSAR) 32 , 33 , accuracy can reach the submillimeter level 34 , 35 . With the increasing enrichment of space-borne SAR data, InSAR has become an important technical mean of monitoring land subsidence 36 . The InSAR technique, independent of time and weather, can monitor small deformations on the ground in near-real-time over a large area.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies

Zhang

et al. 2023

Sci Rep

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Shanghai is susceptible to land subsidence due to its unique geological environment and frequent human activities. Traditional leveling techniques are not sufficient for monitoring large areas of land subsidence due to the time-consuming, labor-intensive, and expensive nature of the process. Furthermore, the results of conventional methods may not be timely, rendering them ineffective for monitoring purposes. Interferometric Synthetic Aperture Radar (InSAR) technology is a widely used method for monitoring ground subsidence due to its low cost, high efficiency, and ability to cover large areas. To monitor the surface sink condition of Shanghai over the past 2 years, monitoring data were obtained through the technical processing of 24 images from Sentinel-1A data covering Shanghai from 2019 to 2020 using the Persistent Scatterer (PS-InSAR) and Small Baseline Subset (SBAS-InSAR) technique. The ground subsidence (GS) results were extracted via PS and SBAS interferometry processing, while Shuttle Radar Topography Mission data were used to correct the residual phase. According to PS and SBAS methods, the maximum ground subsidence in the study area reached 99.8 mm and 47.2 mm, respectively. The subsidence rate and the accumulated amount of subsidence derived from the monitoring results revealed the urban area in Shanghai to be principally characterized by uneven GS, with multiple settlement funnels being found to be distributed across the main urban area. Moreover, when compared with the historical subsidence data, geological data, and urban construction distribution data, the individual settlement funnels were observed to correspond to those data concerning the historical surface settlement funnel in Shanghai. By randomly selecting GS time-series data regarding three feature points, it was determined that the morphological variables of the GS remained largely consistent at all time points and that their change trends exhibited a high degree of consistency, which verified the reliability of the PS-InSAR and SBAS-InSAR monitoring method. The results can provide data support for decision making in terms of geological disaster prevention and control in Shanghai.

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Section: Introductionmentioning

confidence: 99%

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies

Zhang

et al. 2023

Sci Rep

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“…Urban surface subsidence can damage the structures of roads, bridges, buildings, etc., causing cracks and inclines in buildings. Serious surface subsidence can also cause building and ground collapse [1,2]. These disasters seriously affect the lives and property safety of urban residents.…”

Section: Introductionmentioning

confidence: 99%

“…Nanchang is the capital of Jiangxi Province in China, which is located in the central part of China and southwest of Poyang Lake (Figure 1). Nanchang has a permanent population of 6,437,500 (by the end of 2021), with a total area of 7402 km 2 , including 617 km 2 of the urban area. The city is dotted with lakes.…”

Section: Introductionmentioning

confidence: 99%

Surface Subsidence of Nanchang, China 2015–2021 Retrieved via Multi-Temporal InSAR Based on Long- and Short-Time Baseline Net

et al. 2023

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Urban land subsidence threatens the safety of urban buildings and people’s lives. The time series interferometric synthetic aperture radar (InSAR) technology can provide us with large-area, high-resolution, and high-precision ground deformation monitoring. In this study, the time series InSAR technology and the strategy with long- and short-time baseline networking are used to obtain the surface deformation along the line of sight of Nanchang City based on the six-year (from December 2015 to December 2021) Sentinel-1 data. Longer datasets and better baseline strategies allow us to obtain more stable deformation results of Nanchang City than other researchers. The results of surface deformation show that the overall surface of Nanchang City is stable, but there are several obvious subsidence funnels. We carried out a field survey on four areas with significant surface subsidence. We considered that these subsidence areas may be related to soil compaction, building construction, and groundwater extraction. Based on the surface deformation results around the subway line, we analyzed the impact of subway construction on the surface along the line and identified the sections that need to be focused on by the managers to prevent the deformation area from affecting the surrounding buildings and subway line operation safety.

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“…InSAR techniques have been satisfactorily applied to detect land subsidence in many cities worldwide (e.g., Raspini et al 2022 ), and the land movement precision measurement mainly depends on the decorrelation of the SAR signal, phase unwrapping errors, and atmospheric delays. To overcome errors related to SAR signal decorrelation, two families of InSAR time series techniques were developed, PS and DS.…”

Section: Introductionmentioning

confidence: 99%

Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series

Fernández-Torres,

Cabral-Cano,

Solano-Rojas

et al. 2023

Nat Hazards

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The increased need for water resources in urban sprawls and intense droughts has forced more aggressive groundwater extraction resulting in numerous urban areas undergoing land subsidence. In most cases, only some large metropolitan areas have been well-characterized for subsidence. However, there is no existing country-wide assessment of urban areas, population, and households exposed to this process. This research showcases a methodology to systematically evaluate urban localities with land subsidence higher than − 2.8 cm/year throughout Mexico. We used Interferometric Synthetic Aperture Radar (InSAR) tools with a dataset of 4611 scenes from European Space Agency’s Sentinel-1 A/B SAR sensors acquired from descending orbits from September 2018 through October 2019. This dataset was processed at a supercomputer using InSAR Scientific Computing Environment and the Miami InSAR Time Series software in Python software. The quality and calibration of the resulting velocity maps are assessed through a large-scale comparison with observations from 100 continuous GPS sites throughout Mexico. Our results show that an urban area of 3797 km2, 6.9 million households, and 17% of the total population in Mexico is exposed to subsidence velocities of faster than − 2.8 cm/year, in more than 853 urban localities within 29 land subsidence regions. We also confirm previous global potential estimations of subsidence occurrence in low relief areas over unconsolidated deposits and where groundwater aquifers are under stress. The presented research demonstrates the capabilities for surveying urban areas exposed to land subsidence at a country-scale level by combining Sentinel-1 velocities with spatial national census data.

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Review of satellite radar interferometry for subsidence analysis

Cited by 40 publications

References 541 publications

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies

Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies

Surface Subsidence of Nanchang, China 2015–2021 Retrieved via Multi-Temporal InSAR Based on Long- and Short-Time Baseline Net

Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series

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